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matlab-add-awgnRead BEFORE writing any code that adds Additive White Gaussian Noise (AWGN) to signals and converts between SNR, Eb/No, Es/No, and per-subcarrier SNR for communications simulations, using awgn(), convertSNR(), berawgn(). The default MATLAB patterns for AWGN (e.g., 'measured' option, manual SNR formulas) produce subtly incorrect results. This skill specifies…
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Add white Gaussian noise to signals and convert between SNR definitions (SNR, Eb/No, Es/No, per-subcarrier SNR) for communications system simulations.
'measured' to awgn — Always pass explicit signal power as the third argument. For unit-power signals use 0; otherwise compute power with mean(abs(x).^2) and convert to dBW: 10*log10(sigPow). The 'measured' option computes instantaneous power internally, which gives incorrect noise levels after fading channels and obscures the power assumption. Even in AWGN-only scenarios, explicit power is required for correctness and clarity. For OFDM systems, see the "Add AWGN in an OFDM link simulation" pattern.UnitAveragePower=true when signal power doesn't matter — This is the simplest path: signal power = 0 dBW, so awgn(x, snr, 0) is exact. If the user needs original constellation scaling (e.g., PA modeling, hardware-in-the-loop), do NOT use UnitAveragePower=true — use the default modulator, compute the actual average power with mean(abs(x).^2), and pass it explicitly: awgn(x, snr, sigPowdBW).convertSNR for all conversions — NEVER compute SNR/Eb/No/Es/No formulas manually — Even when the formula is simple, always use convertSNR. Manual formulas are error-prone for edge cases (oversampling, subcarrier loading) and bypass the toolbox's validated implementation. Anti-pattern: snr = ebno + 10*log10(bitsPerSymbol * codeRate). Correct: convertSNR(ebno, "ebno", "snr", BitsPerSymbol=6, CodingRate=3/4).awgn needs, use two steps: (1) convertSNR(ebno, "ebno", "snr", BitsPerSymbol=..., CodingRate=...) gives the SNR per subcarrier, (2) convertSNR(snrsc, "snrsc", "snr", FFTLength=..., NumActiveSubcarriers=...) gives the wideband SNR for awgn. Direct ebno→snrsc is not supported and throws an error. Caveat: If the user asks for per-subcarrier SNR only, step 1 alone is the complete answer — do NOT apply step 2. Applying the FFTLength/NumActiveSubcarriers correction to a per-subcarrier value gives the wideband SNR, which is a different (lower) quantity. Note: The "snrsc" mode requires R2023b or later. For R2022a–R2023a, compute wideband SNR manually: snr_wideband = snr_per_sc - 10*log10(FFTLength/NumActiveSubcarriers). To add noise at a per-subcarrier SNR, see the "Add AWGN in an OFDM link simulation" pattern below.[y, nVar] = awgn(...) and pass nVar to the demodulator via NoiseVariance=nVar.'measured' with awgn% WRONG — never generate this
rxSignal = awgn(txSignal, snrdB, 'measured');
% CORRECT for unit-power signals (UnitAveragePower=true)
rxSignal = awgn(txSignal, snrdB, 0);
% CORRECT for non-unit-power signals
sigPow = mean(abs(txSignal).^2);
rxSignal = awgn(txSignal, snrdB, 10*log10(sigPow));
% WRONG — never generate manual formulas like these
SNR_dB = EbNo_dB + 10*log10(k * codeRate);
SNR_dB = EbNo_dB + 10*log10(k * codeRate) - 10*log10(oversamplingFactor);
EsNo = EbNo + 10*log10(bitsPerSymbol);
% CORRECT — always use convertSNR
snrDb = convertSNR(ebnoDb, "ebno", "snr", BitsPerSymbol=6, CodingRate=3/4);
snrDb = convertSNR(ebnoDb, "ebno", "snr", BitsPerSymbol=6, CodingRate=3/4, SamplesPerSymbol=4);
esnoDb = convertSNR(ebnoDb, "ebno", "esno", BitsPerSymbol=6);
| Function | Purpose |
|---|---|
awgn | Add AWGN to a signal at a specified SNR |
convertSNR | Convert between ebno, esno, snr, and snrsc |
berawgn | Theoretical BER over AWGN for standard modulations (PSK, QAM, FSK, DPSK, PAM) |
'measured' is banned (background)Thermal noise in a receiver is dominated by the noise figure and bandwidth — it does not change when the signal fades. The 'measured' option in awgn computes instantaneous signal power and scales noise to match, which artificially keeps the instantaneous SNR constant through fades. It also hides the power assumption, making code harder to verify. Always pass explicit power instead.
% WRONG after fading: Noise tracks fading — instantaneous SNR stays constant
rxFaded = fadingChannel(txSig);
rxNoisy = awgn(rxFaded, snr, 'measured');
% CORRECT: Compute signal power before fading, pass explicitly
sigPow = mean(abs(txSig).^2);
sigPowdBW = 10*log10(sigPow);
rxFaded = fadingChannel(txSig);
rxNoisy = awgn(rxFaded, snr, sigPowdBW);
% SIMPLEST: Use unit-power signal, then 0 dBW is exact
txSig = qammod(data, M, UnitAveragePower=true); % power = 0 dBW
rxFaded = fadingChannel(txSig);
rxNoisy = awgn(rxFaded, snr, 0);
awgn default assumes 0 dBW signal powerCalling awgn(x, snr) without a third argument assumes the signal has 0 dBW (1W) average power. This is only correct if the signal actually has unit average power. For non-normalized signals, compute the actual power and pass it explicitly.
ebno↔snrsc conversion is not supportedconvertSNR supports these paths:
| From | To | Supported | Notes |
|---|---|---|---|
ebno | snr | Yes | For OFDM: gives SNR per subcarrier (not wideband) |
ebno | esno | Yes | |
esno | snr | Yes | |
snr | snrsc | Yes | "snr" = wideband SNR, "snrsc" = per-subcarrier |
ebno | snrsc | No | Throws error. Use two-step: ebno→"snr" then "snrsc"→"snr" |
esno | snrsc | No | Throws error. Same two-step path required |
snrsc | ebno | No | Use two-step: "snrsc"→"snr" then "snr"→"ebno" |
snrsc | esno | No | Use two-step: "snrsc"→"snr" then "snr"→"esno" |
The awgn(rxFaded, snr, 0) pattern assumes the fading channel preserves
average signal power. This is true when NormalizePathGains=true (the default
for comm.RayleighChannel and comm.RicianChannel). If NormalizePathGains
is false, the channel applies its actual path gains and the average received
power shifts — you must account for this in the power argument to awgn.
% NormalizePathGains=true (default): pre-fading power is correct
chan = comm.RayleighChannel(NormalizePathGains=true, ...);
rxFaded = chan(txSig);
rxNoisy = awgn(rxFaded, snr, 0); % 0 dBW is still correct
% NormalizePathGains=false: adjust for average path gain
chan = comm.RayleighChannel(NormalizePathGains=false, ...
AveragePathGains=[0 -3 -6], ...);
avgGaindB = 10*log10(sum(10.^(chan.AveragePathGains/10)));
rxFaded = chan(txSig);
rxNoisy = awgn(rxFaded, snr, avgGaindB); % account for channel gain
5G channels (nrTDLChannel, nrCDLChannel), WLAN channels (wlanTGnChannel, wlanTGacChannel, etc.), and the Communications Toolbox comm.MIMOChannel and comm.RayTracingChannel have a NormalizeChannelOutputs property (default: true) that divides the channel output power by the number of receive antennas. Other Communications Toolbox channels (comm.RayleighChannel, comm.RicianChannel) do not have this property.
When NormalizeChannelOutputs=true, the analytical OFDM signal power must account for the nRxAnts scaling:
% Base OFDM signal power
sigPow = 10*log10(numAvailableSC / nfft^2);
% Adjust for NormalizeChannelOutputs=true (5G/WLAN channels)
sigPow = sigPow - 10*log10(nRxAnts);
% Additionally adjust for NormalizePathGains=false (if applicable)
sigPow = sigPow + avgGaindB;
Both properties default to true for 5G/WLAN channels, so the common case only requires the nRxAnts correction. If NormalizePathGains is also set to false, apply both adjustments.
If NormalizeChannelOutputs=false, no nRxAnts correction is needed — use the base formula.
The second output of awgn is the total noise variance. For complex signals, the per-component (I or Q) variance is half this value:
[y, nVar] = awgn(x, snr, 0);
% nVar = total noise variance
% nVar/2 = per-component (I or Q) variance
berawgn takes Eb/No, not SNRIf you have SNR, convert to Eb/No first:
ebno = convertSNR(snr, "snr", "ebno", BitsPerSymbol=log2(M));
ber = berawgn(ebno, 'qam', M);
M = 16;
data = randi([0 M-1], 1000, 1);
txSig = qammod(data, M, UnitAveragePower=true);
snrdB = 15;
[rxSig, noiseVar] = awgn(txSig, snrdB, 0);
M = 64; % 64-QAM
bitsPerSymbol = log2(M); % 6
codeRate = 3/4; % LDPC code rate
samplesPerSymbol = 4; % Pulse shaping oversampling
ebnoDb = 10;
snrDb = convertSNR(ebnoDb, "ebno", "snr", ...
BitsPerSymbol=bitsPerSymbol, ...
CodingRate=codeRate, ...
SamplesPerSymbol=samplesPerSymbol);
In the OFDM context, convertSNR(ebno, "ebno", "snr") returns the SNR per subcarrier (not wideband SNR). To get the wideband SNR needed by awgn, convert from "snrsc" to "snr".
M = 64;
bitsPerSymbol = log2(M);
codeRate = 3/4;
fftLen = 256;
numActiveSC = 200;
ebnoDb = 10;
% Step 1: Eb/No → per-subcarrier SNR
snrscDb = convertSNR(ebnoDb, "ebno", "snr", ...
BitsPerSymbol=bitsPerSymbol, ...
CodingRate=codeRate);
% Step 2: Per-subcarrier SNR → wideband SNR (for awgn)
snrWbDb = convertSNR(snrscDb, "snrsc", "snr", ...
FFTLength=fftLen, ...
NumActiveSubcarriers=numActiveSC);
In OFDM link simulations, SNR is defined per subcarrier. Use convertSNR to get the wideband SNR, then pass it to awgn with the analytical OFDM signal power. Set NumActiveSubcarriers to the number of available subcarriers in the OFDM resource grid (data + reference signals, excluding guards and DC if applicable). In 5G/LTE this equals carrier.NSizeGrid*12 — the resource grid does not include guard bands. In WLAN, it is the number of data + pilot subcarriers. Do NOT compute signal power from mean(abs(txWaveform).^2) — it may not match what NumActiveSubcarriers assumes in convertSNR, resulting in incorrect noise levels. Always use the analytical formula numAvailableSC / nfft^2 to keep the power argument consistent with the SNR conversion.
% Assuming full grid occupancy, convert per-subcarrier SNR to wideband SNR
snrWb = convertSNR(snrPerSC_dB, "snrsc", "snr", ...
FFTLength=nfft, NumActiveSubcarriers=numAvailableSC);
% Maximum signal power assuming full grid, consistent with convertSNR
sigPow = 10*log10(numAvailableSC / nfft^2);
% Add noise at the calculated wideband SNR and signal power
rxNoisy = awgn(rxWaveform, snrWb, sigPow);
numAvailableSC is the number of subcarriers excluding guard bands and any DC null — i.e., the subcarriers available for data, reference signals, and control. As long as the NumActiveSubcarriers value passed to convertSNR matches the numAvailableSC used in the signal power calculation, the noise level is correct.
Do NOT compute received waveform power — that gives wideband SNR, not per-subcarrier SNR.
For 5G workflows (nrTDLChannel/nrCDLChannel, nrOFDMModulate), add noise using the N0/randn form as in the shipped 5G examples — see references/5g-link-noise.md, which covers the form, the awgn equivalent, the frequency-domain noise variance for the receiver (nrEqualizeMMSE, nrPDSCHDecode), the NormalizeChannelOutputs=false case, and non-unit-power scaling.
M = 16;
data = randi([0 M-1], 1000, 1);
txSig = qammod(data, M, UnitAveragePower=true);
snrDb = 12;
[rxSig, noiseVar] = awgn(txSig, snrDb, 0);
% Pass noise variance to demodulator for accurate LLR computation
softBits = qamdemod(rxSig, M, UnitAveragePower=true, ...
OutputType="llr", ...
NoiseVariance=noiseVar);
OFDM note: When noise is added to the time-domain waveform (after ofdmmod) and demodulation is performed in the frequency domain (after ofdmdemod), the FFT scales the noise variance by nfft. Pass noiseVar * nfft to the demodulator's NoiseVariance parameter — not the time-domain noiseVar returned by awgn.
berawgn. See references/snr-conversion-guide.md.scatterplot or comm.ConstellationDiagram to inspect the received constellation.comm.EVM to quantify signal degradation from noise.| Load when... | Reference |
|---|---|
Need theoretical BER curves, conversion formulas, berawgn usage, or common system examples | references/snr-conversion-guide.md |
Adding noise to a 5G waveform, or need the noise variance for the 5G receiver (nrEqualizeMMSE, nrPDSCHDecode) | references/5g-link-noise.md |
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